부산대학교 도서관

The Brazilian Early Childhood Friendly Municipal Index (IMAPI) is a population‐based approach to monitor the nurturing care environment for early childhood development (ECD) using routine information system data. It is unknown whether IMAPI can be applied to document metropolitan urban territorial differences in nurturing care environments. We used Brasilia, Brazil's capital with a large metropolitan population of 2,881,854 inhabitants divided into 31 districts, as a case study to examine whether disaggregation of nurturing care data can inform a more equitable prioritization for ECD in metropolitan areas. IMAPI scores were estimated at the municipal level (IMAPI‐M, 31 indicators) and at the district level (IMAPI‐D, 29 indicators). We developed a quantitative prioritization process for indicators in each IMAPI analysis, and those selected were jointly mapped in the socioecological model for the role of indicators in relation to the enabling environment for nurturing care. Out of 28 common nurturing care indicators across IMAPI analysis, only four were prioritized in both analyses: one from the Adequate nutrition, two from the Opportunities for early learning, and one from the Responsive caregiving domains. These four indicators were mapped as enabling policies, supportive services, and caregivers' capabilities (socioecological model) and Effort, Coverage, and Quality (indicator's role). In conclusion, the different levels of nurturing care data disaggregation in the IMAPI can better inform decision‐making than each one individually, especially in metropolitan areas where municipalities and districts within metropolitan areas have relative decision‐making autonomy. Key messages: The Brazilian Early Childhood Friendly Municipal Index (IMAPI) is an innovative population‐based approach created to systematically measure nurturing care for early childhood development (ECD) using routine information systems data at the municipal level.Brasilia was used as a case study to evaluate whether different levels of nurturing care data disaggregation (municipal vs. district level) can inform more equitable prioritization for ECD investments in metropolitan areas.We developed a quantitative prioritization process of indicators to analyse IMAPI at the municipal and district levels, and the selected indicators were jointly mapped into the socioecological model, specifying the roles of the indicator in the enabling environment for nurturing care.The two different levels of data disaggregation of the IMAPI can better inform nurturing care‐related decisions than each individual level in metropolitan areas where municipalities and districts within metropolitan areas have relative decision‐making autonomy. [ABSTRACT FROM AUTHOR]